AI's uncertain opportunity for Africa
The absence of African languages from large language models has become a major concern for the continent’s policymakers and tech leaders.
Africa stands at an uncertain crossroads as artificial intelligence (AI) gains prominence. Togo's initiative to gather local language texts, recordings, and translations for AI models highlights a growing concern: the dearth of African languages in large language models. This absence could hinder the continent's ability to harness AI's potential.
Global AI investment is projected to reach $2 trillion this year, as tech giants compete to expand computing power and infrastructure. However, Africa's share of this investment is remarkably small. Africa, home to 18% of the world's population, only possesses 0.6% of global data-center capacity, and just 5% of that can handle advanced AI workloads.
The continent's primary revenue stream remains the mining of minerals like copper and cobalt. Yet, a more transformative opportunity lies in leveraging AI to boost productivity across sectors. The African Development Bank estimates that inclusive AI adoption could inject up to $1 trillion into Africa's GDP by 2035.
To fully capitalize on AI's potential, African countries must prioritize adapting and integrating AI into existing systems rather than solely focusing on building groundbreaking models. Infrastructure and energy supply are crucial for AI deployment, and the World Bank emphasizes that most African economies should adopt AI rather than invest heavily in developing frontier models from scratch.
Togo's success story serves as a potent example of AI adaptation. By creating a language model that understands the country's 50 local languages, Togo demonstrates how AI can improve government service delivery and bridge the communication gap with citizens. The World Bank outlines several low-cost yet impactful AI applications in Africa, such as tools that support student learning, assist farmers in detecting and managing livestock diseases, and automate tasks like accounting for small businesses.
In conclusion, Africa's future with AI does not hinge on who builds the largest model, but rather on who makes the technology useful to the most people. By focusing on productivity gains, infrastructure development, and inclusive adoption, African nations can transform AI from a distant opportunity into a powerful engine for economic growth.
Written by urgent.news from Semafor's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
